Skip to main content

Causality Relations Using Nonlinear Data Assimilation

Searching for OpenAIRE data...

Publications

An ensemble framework for time delay synchronization

Author(s): Flavia R. Pinheiro, Peter Jan van Leeuwen, Ulrich Parlitz
Published in: Quarterly Journal of the Royal Meteorological Society, Issue 144/711, 2018, Page(s) 305-316, ISSN 0035-9009
DOI: 10.1002/qj.3204

State-of-the-art stochastic data assimilation methods for high-dimensional non-Gaussian problems


Published in: ISSN 1600-0870
DOI: 10.1080/16000870.2018.1445364

Estimating model error covariances using particle filters

Author(s): Mengbin Zhu, Peter J. van Leeuwen, Weimin Zhang
Published in: Quarterly Journal of the Royal Meteorological Society, Issue 144/713, 2018, Page(s) 1310-1320, ISSN 0035-9009
DOI: 10.1002/qj.3132

Data Assimilation in the Solar Wind: Challenges and First Results

Author(s): Matthew Lang, Philip Browne, Peter Jan van Leeuwen, Mathew Owens
Published in: Space Weather, Issue 15/11, 2017, Page(s) 1490-1510, ISSN 1542-7390
DOI: 10.1002/2017SW001681

A weak-constraint 4DEnsembleVar. Part I: formulation and simple model experiments

Author(s): Javier Amezcua, Michael Goodliff, Peter Jan Van Leeuwen
Published in: Tellus A: Dynamic Meteorology and Oceanography, Issue 69/1, 2017, Page(s) 1271564, ISSN 1600-0870
DOI: 10.1080/16000870.2016.1271564

A weak-constraint 4DEnsembleVar. Part II: experiments with larger models

Author(s): Michael Goodliff, Javier Amezcua, Peter Jan Van Leeuwen
Published in: Tellus A: Dynamic Meteorology and Oceanography, Issue 69/1, 2017, Page(s) 1271565, ISSN 1600-0870
DOI: 10.1080/16000870.2016.1271565

A Revised Implicit Equal-Weights Particle Filter

Author(s): Jacob Skauvold, Jo Eidsvik, Peter Jan van Leeuwen, Javier Amezcua
Published in: Quarterly Journal of the Royal Meteorological Society, 2019, ISSN 0035-9009
DOI: 10.1002/qj.3506

Time‐correlated model error in the (ensemble) Kalman smoother

Author(s): Javier Amezcua, Peter Jan van Leeuwen
Published in: Quarterly Journal of the Royal Meteorological Society, Issue 144/717, 2018, Page(s) 2650-2665, ISSN 0035-9009
DOI: 10.1002/qj.3378

Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter

Author(s): M. Pulido and P.J. van Leeuwen
Published in: Journal Of Computational Physics + OA Mirror, 2019, ISSN 0021-9991

Efficient nonlinear data assimilation using synchronisation in a particle filter

Author(s): Flavia R. Pinheiro, Peter Jan van Leeuwen, Gernot Geppert
Published in: Quarterly Journal of the Royal Meteorological Society, 2019, ISSN 0035-9009
DOI: 10.1002/qj.3576

Particle filters for high‐dimensional geoscience applications: A review

Author(s): Peter Jan van Leeuwen, Hans R. Künsch, Lars Nerger, Roland Potthast, Sebastian Reich
Published in: Quarterly Journal of the Royal Meteorological Society, 2019, ISSN 0035-9009
DOI: 10.1002/qj.3551

A window on the deep ocean: The special value of ocean bottom pressure for monitoring the large-scale, deep-ocean circulation

Author(s): Chris W. Hughes, Joanne Williams, Adam Blaker, Andrew Coward, Vladimir Stepanov
Published in: Progress in Oceanography, Issue 161, 2018, Page(s) 19-46, ISSN 0079-6611
DOI: 10.1016/j.pocean.2018.01.011

The Impact of the Processes in the Southern Ocean on ENSO Development

Author(s): V.N. Stepanov
Published in: Earth Sciences, 2019, ISSN 2328-5982

Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter

Author(s): Manuel Pulido, Peter Jan vanLeeuwen, Derek J. Posselt
Published in: Computational Science – ICCS 2019 - 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part IV, Issue 11539, 2019, Page(s) 141-155
DOI: 10.1007/978-3-030-22747-0_11

Editorial

Author(s): Tijana Janjic, Roland Potthast, Peter Jan Van Leeuwen
Published in: Quarterly Journal of the Royal Meteorological Society, Issue 144/713, 2018, Page(s) 1189-1190, ISSN 0035-9009
DOI: 10.1002/qj.3382